Ontology type: schema:ScholarlyArticle Open Access: True
2016-07
AUTHORSMarowa Hashimoto, Nobuyuki Miyai, Sonomi Hattori, Akihiko Iwahara, Miyoko Utsumi, Mikio Arita, Tatsuya Takeshita
ABSTRACTOBJECTIVE: The influence of T-786C polymorphism in the promoter region of endothelial nitric oxide synthase (eNOS) on arteriosclerotic parameters by age and gender were examined. METHODS: Brachial-ankle pulse wave velocity (baPWV), heart-rate adjusted augmentation index (AIx@75), pulse pressure (PP) and albumin-creatinine ratio (ACR) were assessed as arteriosclerotic parameters in addition to non-high-density lipoprotein cholesterol (non-HDL-C) to HDL-C (non-HDL-C/HDL-C) ratio in 1499 participants. T-786C polymorphism (rs2070744) was screened using a TaqMan allelic discrimination assay. Analyses of covariance were carried. RESULTS: Women with the non-C allele showed significantly lower AIx@75 in participants aged <65 years and baPWV in participants aged ≥65 years than those with C allele. In contrast, men with the non-C allele showed significantly higher PP in participants aged <65 years, and higher ACR and non-HDL-C/HDL-C ratio in participants aged ≥65 years. In men on cholesterol-lowering medication, the non-C allele carriers showed significantly higher non-HDL-C compared to those in the C allele carriers. CONCLUSIONS: eNOS T-786C polymorphism is significantly associated with arteriosclerotic parameters accompanied with age and gender differences, possibly involving antioxidative and/or endothelial signaling other than inflammatory signaling. More... »
PAGES274-282
http://scigraph.springernature.com/pub.10.1007/s12199-016-0527-1
DOIhttp://dx.doi.org/10.1007/s12199-016-0527-1
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1041100008
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/27038349
JSON-LD is the canonical representation for SciGraph data.
TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT
[
{
"@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json",
"about": [
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1103",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Clinical Sciences",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Medical and Health Sciences",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Age Factors",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Arteriosclerosis",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Cross-Sectional Studies",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Japan",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Nitric Oxide Synthase Type III",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Polymorphism, Genetic",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Promoter Regions, Genetic",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Sex Factors",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Wakayama Medical University",
"id": "https://www.grid.ac/institutes/grid.412857.d",
"name": [
"Department of Public Health, Wakayama Medical University School of Medicine, 811-1 Kimiidera, 641-8509, Wakayama City, Wakayama, Japan"
],
"type": "Organization"
},
"familyName": "Hashimoto",
"givenName": "Marowa",
"id": "sg:person.0726707700.83",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0726707700.83"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Wakayama Medical University",
"id": "https://www.grid.ac/institutes/grid.412857.d",
"name": [
"Wakayama Medical University School of Health and Nursing Science, 580 Mikazura, 641-0011, Wakayama City, Wakayama, Japan"
],
"type": "Organization"
},
"familyName": "Miyai",
"givenName": "Nobuyuki",
"id": "sg:person.01167135710.19",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01167135710.19"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Wakayama Medical University",
"id": "https://www.grid.ac/institutes/grid.412857.d",
"name": [
"Wakayama Medical University School of Health and Nursing Science, 580 Mikazura, 641-0011, Wakayama City, Wakayama, Japan"
],
"type": "Organization"
},
"familyName": "Hattori",
"givenName": "Sonomi",
"id": "sg:person.014727627711.05",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014727627711.05"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Wakayama Medical University",
"id": "https://www.grid.ac/institutes/grid.412857.d",
"name": [
"Wakayama Medical University School of Health and Nursing Science, 580 Mikazura, 641-0011, Wakayama City, Wakayama, Japan"
],
"type": "Organization"
},
"familyName": "Iwahara",
"givenName": "Akihiko",
"id": "sg:person.016641612351.48",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016641612351.48"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Wakayama Medical University",
"id": "https://www.grid.ac/institutes/grid.412857.d",
"name": [
"Wakayama Medical University School of Health and Nursing Science, 580 Mikazura, 641-0011, Wakayama City, Wakayama, Japan"
],
"type": "Organization"
},
"familyName": "Utsumi",
"givenName": "Miyoko",
"id": "sg:person.01070631440.28",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01070631440.28"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Wakayama Medical University",
"id": "https://www.grid.ac/institutes/grid.412857.d",
"name": [
"Wakayama Medical University School of Health and Nursing Science, 580 Mikazura, 641-0011, Wakayama City, Wakayama, Japan"
],
"type": "Organization"
},
"familyName": "Arita",
"givenName": "Mikio",
"id": "sg:person.01327711512.24",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01327711512.24"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Wakayama Medical University",
"id": "https://www.grid.ac/institutes/grid.412857.d",
"name": [
"Department of Public Health, Wakayama Medical University School of Medicine, 811-1 Kimiidera, 641-8509, Wakayama City, Wakayama, Japan"
],
"type": "Organization"
},
"familyName": "Takeshita",
"givenName": "Tatsuya",
"id": "sg:person.016037411101.86",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016037411101.86"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1093/molehr/gaq049",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1001239602"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/molehr/gaq049",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1001239602"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.atherosclerosis.2005.06.014",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1002260040"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1748-1716.2009.01964.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1003078530"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1748-1716.2009.01964.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1003078530"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.atherosclerosis.2013.10.004",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1003426603"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/aps.2010.123",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1005171926",
"https://doi.org/10.1038/aps.2010.123"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1177/0003319713513145",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1005623835"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1177/0003319713513145",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1005623835"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1074/jbc.m211394200",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1006933076"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1258/cvd.2012.012016",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1007942360"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1258/cvd.2012.012016",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1007942360"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3109/10641963.2012.690473",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1008260961"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s40520-014-0218-y",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012186928",
"https://doi.org/10.1007/s40520-014-0218-y"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1590/s0066-782x2012005000120",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1014588259"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1161/01.cir.99.22.2864",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015788395"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.neulet.2005.03.032",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1016535471"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.pathophys.2012.04.003",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018610686"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1469-7793.2000.t01-1-00263.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018658850"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/1476-511x-13-37",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021454354",
"https://doi.org/10.1186/1476-511x-13-37"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1681/asn.2004100817",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021480881"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1681/asn.2004100817",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021480881"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.gene.2013.09.099",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1022330134"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2337/dc11-0209",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1022853463"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00439-009-0783-x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1023189959",
"https://doi.org/10.1007/s00439-009-0783-x"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00439-009-0783-x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1023189959",
"https://doi.org/10.1007/s00439-009-0783-x"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1172/jci29406",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1023725231"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/00041552-199801000-00010",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028194583"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/00041552-199801000-00010",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028194583"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.atherosclerosis.2010.02.015",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1029701706"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1371/journal.pone.0060472",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1032226294"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.freeradbiomed.2006.04.026",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037716344"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00424-010-0797-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1040837590",
"https://doi.org/10.1007/s00424-010-0797-1"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00424-010-0797-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1040837590",
"https://doi.org/10.1007/s00424-010-0797-1"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1371/journal.pone.0024266",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1041606160"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1161/circulationaha.105.602532",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1044653963"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jacc.2005.07.037",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1045197616"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1161/01.hyp.0000049624.99844.3d",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1045261857"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1161/01.hyp.0000049624.99844.3d",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1045261857"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.redox.2013.12.027",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1046203600"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1291/hypres.25.359",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1046971712",
"https://doi.org/10.1291/hypres.25.359"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.atherosclerosis.2006.07.020",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048393629"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.thromres.2004.09.003",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048544354"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1159/000316063",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1050703967"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jjcc.2014.06.005",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1051433622"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jacc.2006.05.046",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1052059471"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.amjhyper.2006.09.009",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1054728115"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/01.fpc.0000167328.85163.44",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1060328151"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/01.fpc.0000167328.85163.44",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1060328151"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/01.fpc.0000167328.85163.44",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1060328151"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1160/th06-05-0280",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1063290859"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1210/jc.2009-0278",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1064291243"
],
"type": "CreativeWork"
}
],
"datePublished": "2016-07",
"datePublishedReg": "2016-07-01",
"description": "OBJECTIVE: The influence of T-786C polymorphism in the promoter region of endothelial nitric oxide synthase (eNOS) on arteriosclerotic parameters by age and gender were examined.\nMETHODS: Brachial-ankle pulse wave velocity (baPWV), heart-rate adjusted augmentation index (AIx@75), pulse pressure (PP) and albumin-creatinine ratio (ACR) were assessed as arteriosclerotic parameters in addition to non-high-density lipoprotein cholesterol (non-HDL-C) to HDL-C (non-HDL-C/HDL-C) ratio in 1499 participants. T-786C polymorphism (rs2070744) was screened using a TaqMan allelic discrimination assay. Analyses of covariance were carried.\nRESULTS: Women with the non-C allele showed significantly lower AIx@75 in participants aged <65\u00a0years and baPWV in participants aged \u226565\u00a0years than those with C allele. In contrast, men with the non-C allele showed significantly higher PP in participants aged <65\u00a0years, and higher ACR and non-HDL-C/HDL-C ratio in participants aged \u226565\u00a0years. In men on cholesterol-lowering medication, the non-C allele carriers showed significantly higher non-HDL-C compared to those in the C allele carriers.\nCONCLUSIONS: eNOS T-786C polymorphism is significantly associated with arteriosclerotic parameters accompanied with age and gender differences, possibly involving antioxidative and/or endothelial signaling other than inflammatory signaling.",
"genre": "research_article",
"id": "sg:pub.10.1007/s12199-016-0527-1",
"inLanguage": [
"en"
],
"isAccessibleForFree": true,
"isFundedItemOf": [
{
"id": "sg:grant.6123803",
"type": "MonetaryGrant"
},
{
"id": "sg:grant.6112560",
"type": "MonetaryGrant"
},
{
"id": "sg:grant.5923158",
"type": "MonetaryGrant"
},
{
"id": "sg:grant.6116892",
"type": "MonetaryGrant"
},
{
"id": "sg:grant.5859336",
"type": "MonetaryGrant"
}
],
"isPartOf": [
{
"id": "sg:journal.1115673",
"issn": [
"1342-078X",
"1347-4715"
],
"name": "Environmental Health and Preventive Medicine",
"type": "Periodical"
},
{
"issueNumber": "4",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "21"
}
],
"name": "Age and gender differences in the influences of eNOS T-786C polymorphism on arteriosclerotic parameters in general population in Japan",
"pagination": "274-282",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"c3c94b5ec2e33223a6516738951d326a94e576dcc210dc785c75724014585a65"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"27038349"
]
},
{
"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"9609642"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s12199-016-0527-1"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1041100008"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s12199-016-0527-1",
"https://app.dimensions.ai/details/publication/pub.1041100008"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-10T21:39",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8687_00000523.jsonl",
"type": "ScholarlyArticle",
"url": "http://link.springer.com/10.1007%2Fs12199-016-0527-1"
}
]
Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s12199-016-0527-1'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s12199-016-0527-1'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12199-016-0527-1'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12199-016-0527-1'
This table displays all metadata directly associated to this object as RDF triples.
283 TRIPLES
21 PREDICATES
78 URIs
29 LITERALS
17 BLANK NODES